Determination of Melamine in Fresh Milk with Hollow Fiber Liquid Phase Microextraction Based on Ion-Pair Mechanism Combined with High Performance Liquid Chromatography

Gao, Leyuan; Jönsson, Jan Åke

doi:10.1080/00032719.2012.688084

Cited by 19 publications

(13 citation statements)

References 34 publications

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“…Traditional instrumental methods, such as high performance liquid chromatography (HPLC) [4], liquid chromatographymass spectrometry (LC-MS) [5], gas chromatography-mass spectrometry (GCeMS) [6], enzyme-linked immunosorbent assay (ELISA) [7] and capillary zone electrophoresis (CZE) [8], can meet the need of detecting sensitivity and selectivity. However, most of these techniques require expensive analytical instruments, complicated sample pre-treatment, heavy use of volatile organic solvents, time-consuming detecting process and an experienced operator, so they can hardly fulfill the demand of rapid on-site screening.…”

Section: Introductionmentioning

confidence: 99%

Highly sensitive detection of melamine based on fluorescence resonance energy transfer between rhodamine B and gold nanoparticles

et al. 2014

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Section: Introductionmentioning

confidence: 99%

Highly sensitive detection of melamine based on fluorescence resonance energy transfer between rhodamine B and gold nanoparticles

et al. 2014

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“…For accurate melamine quantification in milk extract, the following procedures were adopted in the literature: (1) effective solid‐phase extraction of melamine from milk extract followed by DAD detection at 235.0 nm (Gao and Jönsson ); (2) applying first‐order multivariate calibration (Jawaid et al . ); and (3) applying liquid chromatography to separate coextractives and improve melamine detection (Desmarchelier et al .…”

Section: Resultsmentioning

confidence: 97%

A Quick Detection of Melamine Adulteration in Milk and Dairy Products Using First-Order Multivariate Calibration

Bakain

Al‐Degs

El‐Sheikh

et al. 2015

Journal of Food Processing and Preservation

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In this work, a reasonable substitute with laborious and expensive liquid chromatography for quick melamine detection in milk and dairy products is outlined. To accomplish this aim, first-order multivariate calibration methods including partial least squares (PLS) and net analyte preprocessing-partial least squares (NAP/PLS) are adopted for melamine quantification in complex food extracts down to 0.07 mg/kg without the need for efficient sample clean up. Solution pH has a significant influence on the performance of the proposed method and poor prediction was observed at pH 2.0 and 4.0. NAP/PLS outperformed PLS for melamine quantification, where analysis was carried out over the spectral domain 215-260 nm and pH 2-8. By using NAP/PLS, melamine is accurately quantified in spiked milk and dairy products (0.5-2.0 mg/kg) containing varying levels of fat (0-29%) and protein (3-23%), which proves the workability of the proposed method for handling wide spectrum of foodstuffs. At spiking level of 0.5 mg/kg, the average recoveries were acceptable (91.2-105.3%). However, modest recoveries were observed for food items containing high levels of protein and fat. Statistical tests confirmed that (with few exceptions) the NAP/PLS is of comparable analytical performance for highly advanced liquid chromatography which gives more chance for the current method to be applied for quick melamine detection in milk and dairy products. The proposed methods would be applied in food laboratories, especially when advanced instruments are not available. PRACTICAL APPLICATIONSA new application of multivariate calibration for melamine detection (down to 0.07 mg/kg) in different types of milk and two dairy products is reported. The proposed analytical method would be of great importance from practical point of view considering the fact that chromatographic separation was avoided. The proposed methods would be applied in food laboratories, especially when advanced instruments are not available.

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“…Presently, the most common academic and industrial methods for the detection of melamine in food products include HPLC with ultraviolet (UV) detection [ 30 , 31 , 32 ], LC-MS [ 33 , 34 ], infrared (IR) spectroscopy [ 35 ], nuclear magnetic resonance (NMR), enzyme immunoassays (EIA) [ 33 , 36 ], capillary electrophoresis [ 37 , 38 ], and recently, Raman spectroscopy and SERS [ 39 , 40 , 41 ]. Sun et al provide a recent review of these techniques and their associated limits of detection [ 3 ].…”

Section: Resultsmentioning

confidence: 99%

Direct Detection of Toxic Contaminants in Minimally Processed Food Products Using Dendritic Surface-Enhanced Raman Scattering Substrates

Dies

Siampani

Escobedo

et al. 2018

Sensors

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We present a method for the surface-enhanced Raman scattering (SERS)-based detection of toxic contaminants in minimally processed liquid food products, through the use of a dendritic silver nanostructure, produced through electrokinetic assembly of nanoparticles from solution. The dendritic nanostructure is produced on the surface of a microelectrode chip, connected to an AC field with an imposed DC bias. We apply this chip for the detection of thiram, a toxic fruit pesticide, in apple juice, to a limit of detection of 115 ppb, with no sample preprocessing. We also apply the chip for the detection of melamine, a toxic contaminant/food additive, to a limit of detection of 1.5 ppm in milk and 105 ppb in infant formula. All the reported limits of detection are below the recommended safe limits in food products, rendering this technique useful as a screening method to identify liquid food with hazardous amounts of toxic contaminants.

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Determination of Melamine in Fresh Milk with Hollow Fiber Liquid Phase Microextraction Based on Ion-Pair Mechanism Combined with High Performance Liquid Chromatography

Cited by 19 publications

References 34 publications

Highly sensitive detection of melamine based on fluorescence resonance energy transfer between rhodamine B and gold nanoparticles

Highly sensitive detection of melamine based on fluorescence resonance energy transfer between rhodamine B and gold nanoparticles

A Quick Detection of Melamine Adulteration in Milk and Dairy Products Using First-Order Multivariate Calibration

Direct Detection of Toxic Contaminants in Minimally Processed Food Products Using Dendritic Surface-Enhanced Raman Scattering Substrates

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